DEVELOPMENT... OpenML
Run
50199

Run 50199

Task 1714 (Learning Curve) breast-w Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.KStar(2)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(2)_B20
weka.KStar(2)_Ma

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9888 ± 0.01
Per class
Build CPU time
0.0002
Build memory
1059994835.4
F measure
0.9525 ± 0.0306
Per class
Kappa
0.8942 ± 0.0688
KB relative information score
0.876 ± 0.0622
Mean absolute error
0.057 ± 0.0263
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9529 ± 0.0303
Per class
Predictive accuracy
0.9528 ± 0.0301
Prior entropy
0.9293 ± 0.0043
Recall
0.9528 ± 0.0301
Per class
Relative absolute error
0.126 ± 0.0582
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1936 ± 0.0592
Root relative squared error
0.4073 ± 0.1247
SciMark benchmark
1970.0822